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NCT05746247

Improving Diagnosis and Clinical Management of Familial Hypercholesterolemia Through Integrated Machine Learning, Implementation Science, and Behavioral Economics

Enrolling by Invitation
NAAges 18+InterventionalDiagnostic
University of Pennsylvania
~750 participants
Updated 2026-03-05 on ClinicalTrials.gov
What's tested:Testing centralized referral mechanism for PCPsInviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluation

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the intervention
Measured over Day 1 - post intervention study visit

Conditions

Familial Hypercholesterolemia

Explore related trials

Hyperlipoproteinemia, Type IIa

Where it's being run

1 sites across 1 states
Pennsylvania1

Who to contact

This trial hasn't published a contact. View it on ClinicalTrials.gov

Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Must be a patient at Penn Medicine
Must have been flagged by the FIND FH tool as having a high probability of FH
First language is English
Resides in PA or NJ

Exclusion

Already have been clinically diagnosed with FH using the proper ICD-10 code
Currently see a lipid specialist at Penn Medicine
Pass study clinician's Study Validity Check

What this trial measures

  • Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the interventionDay 1 - post intervention study visit

    Patients will be evaluated for familial hypercholesterolemia (FH), an underdiagnosed genetic type of high cholesterol. An FH diagnosis will be defined using the Dutch Lipid Clinic Network Diagnostic (DLCN) Criteria for FH (Unlikely, Possible, Probable, Definite). The clinician will also make a clinical assessment of FH informed by the DLCN score and clinical expertise from the appointment.